| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 73.21% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1120 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "very" | | 1 | "softly" | | 2 | "completely" | | 3 | "sharply" | | 4 | "slightly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 15.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1120 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "chill" | | 1 | "rhythmic" | | 2 | "wavered" | | 3 | "scanned" | | 4 | "familiar" | | 5 | "measured" | | 6 | "pristine" | | 7 | "intensity" | | 8 | "enigmatic" | | 9 | "vibrated" | | 10 | "weight" | | 11 | "could feel" | | 12 | "stark" | | 13 | "warmth" | | 14 | "processed" | | 15 | "echoed" | | 16 | "pulse" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 70 | | matches | (empty) | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 6 | | hedgeCount | 4 | | narrationSentences | 70 | | filterMatches | | 0 | "feel" | | 1 | "know" | | 2 | "wonder" | | 3 | "see" |
| | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 70 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1118 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 4 | | matches | | 0 | "This place smells like a bakery after the ovens have gone cold, Nyx murmured, their voice sounding like dry leaves skitt…" | | 1 | "You seek a door where none is forged, she chanted softly, stepping in a slow circle around them." | | 2 | "The threshold is opening, Nyx warned, their shadow-form stretching tall as the surrounding trees began to shudder." | | 3 | "Lead the way, she told the shadow." |
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| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 54 | | wordCount | 1118 | | uniqueNames | 24 | | maxNameDensity | 1.16 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | London | 2 | | Carter | 2 | | Heartstone | 2 | | Richmond | 1 | | Park | 1 | | Aurora | 13 | | Nyx | 5 | | Rory | 1 | | English | 1 | | Veil | 2 | | Varga | 1 | | Seer | 3 | | Belphegor | 1 | | Fae | 3 | | Dymas | 1 | | Isolde | 5 | | Gluttony | 1 | | Dymasian | 1 | | Friday | 1 | | Cheung | 1 | | Hel | 1 | | Fae-forged | 1 | | Cardiff | 1 | | You | 3 |
| | persons | | 0 | "Carter" | | 1 | "Aurora" | | 2 | "Nyx" | | 3 | "Rory" | | 4 | "Varga" | | 5 | "Seer" | | 6 | "Belphegor" | | 7 | "Isolde" | | 8 | "Cheung" | | 9 | "You" |
| | places | | 0 | "London" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "English" | | 4 | "Dymas" | | 5 | "Cardiff" |
| | globalScore | 0.919 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1118 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 70 | | matches | (empty) | |
| 53.73% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 46.58 | | std | 15.75 | | cv | 0.338 | | sampleLengths | | 0 | 36 | | 1 | 63 | | 2 | 51 | | 3 | 63 | | 4 | 33 | | 5 | 41 | | 6 | 44 | | 7 | 52 | | 8 | 53 | | 9 | 66 | | 10 | 48 | | 11 | 26 | | 12 | 69 | | 13 | 38 | | 14 | 60 | | 15 | 58 | | 16 | 59 | | 17 | 53 | | 18 | 25 | | 19 | 40 | | 20 | 42 | | 21 | 17 | | 22 | 69 | | 23 | 12 |
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| 95.24% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 70 | | matches | | 0 | "been grown" | | 1 | "is traded" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 181 | | matches | | 0 | "were already cataloging" |
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| 61.22% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 70 | | ratio | 0.029 | | matches | | 0 | "Behind them, the boundary trees blurred, the familiar English park dissolving into a shimmering distortion—the Veil, whispering of distances that could not be measured by miles." | | 1 | "But remember—time bends differently here." |
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| 87.03% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1134 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small crescent-shaped scar" | | 1 | "slender, leaf-shaped dagger" |
| | adverbCount | 39 | | adverbRatio | 0.03439153439153439 | | lyAdverbCount | 24 | | lyAdverbRatio | 0.021164021164021163 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 70 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 70 | | mean | 15.97 | | std | 7.86 | | cv | 0.492 | | sampleLengths | | 0 | 36 | | 1 | 22 | | 2 | 26 | | 3 | 15 | | 4 | 19 | | 5 | 11 | | 6 | 21 | | 7 | 28 | | 8 | 16 | | 9 | 19 | | 10 | 16 | | 11 | 17 | | 12 | 27 | | 13 | 3 | | 14 | 11 | | 15 | 17 | | 16 | 27 | | 17 | 20 | | 18 | 6 | | 19 | 26 | | 20 | 18 | | 21 | 35 | | 22 | 8 | | 23 | 19 | | 24 | 20 | | 25 | 19 | | 26 | 26 | | 27 | 13 | | 28 | 9 | | 29 | 7 | | 30 | 19 | | 31 | 8 | | 32 | 18 | | 33 | 10 | | 34 | 15 | | 35 | 6 | | 36 | 12 | | 37 | 12 | | 38 | 6 | | 39 | 4 | | 40 | 16 | | 41 | 15 | | 42 | 18 | | 43 | 24 | | 44 | 3 | | 45 | 5 | | 46 | 14 | | 47 | 27 | | 48 | 12 | | 49 | 18 |
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| 92.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5714285714285714 | | totalSentences | 70 | | uniqueOpeners | 40 | |
| 96.62% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 69 | | matches | | 0 | "Instead, the light seemed to" | | 1 | "Faintly glowing violet eyes scanned" |
| | ratio | 0.029 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 69 | | matches | | 0 | "She looked down at it," | | 1 | "They had stepped out of" | | 2 | "I feel like I've walked" | | 3 | "They moved deeper into the" | | 4 | "Her hair, the color of" | | 5 | "Her eyes, pale lavender and" | | 6 | "You bring the scent of" | | 7 | "I know the weight of" | | 8 | "You fled one cage of" | | 9 | "We didn't come for riddles," | | 10 | "We came for passage." | | 11 | "You seek a door where" | | 12 | "It requires severance." | | 13 | "She extended a pale hand." | | 14 | "It cuts through the sticky" | | 15 | "She slid it securely into" | | 16 | "My manager is going to" | | 17 | "She had left Cardiff to" |
| | ratio | 0.261 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 69 | | matches | | 0 | "The air changed first, shifting" | | 1 | "Aurora Carter pulled her jacket" | | 2 | "She looked down at it," | | 3 | "They had stepped out of" | | 4 | "Wildflowers bloomed in impossible profusion" | | 5 | "This place smells like a" | | 6 | "Aurora swallowed, her cool-headed pragmatism" | | 7 | "I feel like I've walked" | | 8 | "They moved deeper into the" | | 9 | "Every step felt suspended in" | | 10 | "Isolde Varga did not turn" | | 11 | "Her hair, the color of" | | 12 | "Her eyes, pale lavender and" | | 13 | "You bring the scent of" | | 14 | "Prince Belphegor’s markets are expanding" | | 15 | "Aurora asked sharply, keeping her" | | 16 | "Isolde offered a faint, enigmatic" | | 17 | "The Fae compulsion to speak" | | 18 | "I know the weight of" | | 19 | "You fled one cage of" |
| | ratio | 0.623 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 69 | | matches | | 0 | "To cross into the sprawling" | | 1 | "Even from a few paces" |
| | ratio | 0.029 | |
| 35.04% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 8 | | matches | | 0 | "Ancient oak trees, impossibly massive and gnarled into shapes that defied botany, formed a natural perimeter around the clearing." | | 1 | "Faintly glowing violet eyes scanned the canopy, the entity's form rippling like smoke caught in an updraft." | | 2 | "This place smells like a bakery after the ovens have gone cold, Nyx murmured, their voice sounding like dry leaves skittering across pavement on a windy night." | | 3 | "Aurora swallowed, her cool-headed pragmatism scrambling for a foothold in a landscape that made no logical sense." | | 4 | "They moved deeper into the grove, treading softly over a thick bed of moss that yielded silently beneath their boots." | | 5 | "Behind them, the boundary trees blurred, the familiar English park dissolving into a shimmering distortion—the Veil, whispering of distances that could not be m…" | | 6 | "At its center stood a low stone ring of weathered megaliths, and seated upon a flat boulder in the middle was a figure who looked as though she had been grown f…" | | 7 | "Her eyes, pale lavender and ancient, fixed on Aurora with an intensity that made the delivery driver's shoulders tense." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |